CN106709252A - Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection - Google Patents
Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection Download PDFInfo
- Publication number
- CN106709252A CN106709252A CN201611214892.0A CN201611214892A CN106709252A CN 106709252 A CN106709252 A CN 106709252A CN 201611214892 A CN201611214892 A CN 201611214892A CN 106709252 A CN106709252 A CN 106709252A
- Authority
- CN
- China
- Prior art keywords
- management
- infection
- hospital infection
- module
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Landscapes
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- External Artificial Organs (AREA)
Abstract
The invention discloses an intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection. The intelligent decision-making assistance system comprises an epidemiological model database module, a patient data collecting module, a hospital infection management information collecting module and an analyzer, wherein the analyzer calculates the probability of the hospital infection risk of each part according to the information collected by the patient data collecting module and the hospital infection management information collecting module and an epidemiological model in the epidemiological model database module and provides information for predicting the risk, assistant decision-making information for preventing the risk and assistant decision-making information for treating and controlling the broken-out infection. By the intelligent decision-making assistance system, the infection probability of a patient can be effectively pre-judged according to the medical record of the patient, the measures taken by hospital management staff and the epidemiological model, and corresponding diagnosis and treatment advice can be made.
Description
Technical field
Intelligent decision the present invention relates to one kind, more particularly to prediction, diagnosis, treatment and control hospital infection aids in system
System.
Background technology
Hospital infection refers to the infection that patient occurs after being admitted to hospital 48 hours.The incidence of the whole nation two, tertiary hospitals infection
Baseline about 4-6%, and the consequence that hospital infection occurs is likely to result in the economic loss of annual billions of RMB, patient dies of illness
Rate rises, and indirectly social resources waste even more inestimable.
The prediction of existing hospital infection relies primarily on " risk factors " right assessment；The diagnosis of infection relies primarily on doctor
Judgement；The treatment of infection relies on the clinical knowledge and experience of doctor；The control of infection relies on existing industry guide or document
Report.Above-mentioned the work heavy dependence human resources and intellectual resources related to hospital infection, but in practical work process easily
There is such as guide specification and executive measure to offset, the problems such as under inefficiency.
For now, temporarily incapability adjuvant clinical medical worker completes prediction, diagnosis, treatment and the sense of control hospital in the market
The software information system or hardware device of dye.The system is excavated using the highly Study on Man-Machine Function of self-definedization and big data, machine
Learning art, coordinates flexible epidemiology model database, for clinical worker provides hospital infection " from advance to control "
Decision-making assistant information.
The content of the invention
In view of this, it is an object of the invention to provide the intelligent decision of a kind of prediction, diagnosis, treatment and control hospital infection
Accessory system, can be according to the case history situation of patient and the measure combination epidemiology mould taken of hospital management staff
Type can probability that effectively anticipation patient infects, and make corresponding diagnosis and treatment recommendations.
The present invention solves above-mentioned technical problem by following technological means：
The intelligent decision accessory system of a kind of prediction, diagnosis, treatment and control hospital infection, including epidemiology pattern number
According to library module, patient data collection's module, hospital infection management information acquisition module and analyzer；
Epidemiology model data library module：Excavating program by big data, to capture internet existing with hospital infection phase
The data of infection risk factors therein are carried out structuring by the scientific documents of pass, while with mathematical algorithm, to above-mentioned danger
Factor is counted, and the infection for obtaining hazards occurs percentage；
Patient data collection's module：Obtain the inspection of patient medical record data, history infection data and iconography and laboratory
Test data reporting；
Hospital infection management information acquisition module：Including three pipe management, antimicrobial management, surgical wound management, hemodialysis
The information of management, endoscopes management, hand hygiene management, multi-drug resistant bacteria management, sterilization management and sterile working management；
Analyzer：According to patient data collection's module and the information of hospital infection management information acquisition module collection according to stream
The disease that row disease is learned in model data library module learns model and makes the probability that each position occurs hospital infection risk, while providing pre-
Survey the information of above-mentioned risk, the decision-making assistant information of prevention, and treatment and the decision-making assistant information of infection has been sent out in control.
Used as the further improvement of this programme, the mathematical algorithm is classified including logistic regression two, GBDT bis- classifies, K is near
It is classification more than suburb, logistic regression, random forest, naive Bayesian, K mean cluster, linear regression, GBDT recurrence, collaborative filtering, mixed
Confuse matrix, Pearson's coefficient, histogram, T inspections, Chi-square Test, centrifugal pump signature analysis.
Used as the further improvement of this programme, the epidemiology model data library module also includes country and international industry
Specification, guide, the master pattern of common recognition.
Beneficial effects of the present invention：Compared to the prior art compared with this programme can enter sector-style according to collected Various types of data
The real-time adjustment of dangerous factor and prediction, can be truly realized dynamic, real-time, the accurate analysis suited measures to local conditions of infection risk prediction；
Doctor can be aided in the essence of diagnosis and treatment is improved on the premise of by analyzing and comparing the data such as a large amount of historical datas, guide specification
Parasexuality.
Brief description of the drawings
Fig. 1 is structural representation of the invention.
Specific embodiment
Below with reference to accompanying drawing, the present invention is described in detail：
As shown in Figure 1：
The intelligent decision accessory system of a kind of prediction, diagnosis, treatment and control hospital infection, including epidemiology pattern number
According to library module, patient data collection's module, hospital infection management information acquisition module and analyzer.
Epidemiology model data library module：Excavating program by big data, to capture internet existing with hospital infection phase
The data of infection risk factors therein are carried out structuring by the scientific documents of pass, while with mathematical algorithm, to above-mentioned danger
Factor is counted, and the infection for obtaining hazards occurs percentage.For example, in the case where the age is certain, with artery congee
The patient of sample hardening, the probability that pulmonary infection occurs is 1.5%, and the probability that bloodstream infection occurs is 0.5%, and suffers from diabetes
Patient, the probability that pulmonary infection occurs is 0.5%, and the probability that bloodstream infection occurs is 0.2%.
Patient data collection's module：Obtain the inspection of patient medical record data, history infection data and iconography and laboratory
Test data reporting.
The wherein collection of data includes artificial collection and intelligent acquisition two ways：
Artificial collection：The functional module provided using the system, and user's customized functional module in the system：Hand
Health, medical rings quality examination, multi-drug resistant bacteria Isolation Management, the verification of lung ventilator intubation, central vein catheter verification, uropoiesis
The verification of road intubation, hospital present infection investigation, hospital present infection investigation, haemodialysis management, communicable disease control.
Intelligent acquisition：Docked with the management system of disinfection and supply center by the system, complete sterilization article tracking
Management；By docking for the system and HIS systems, Antibiogics usage tracing management is completed；By the system and anesthesia surgery
The docking of the system of department, completes surgical site infection management；By docking for the system and sterilizing endoscope disinfection system, complete
Corresponding management.
Specifically, being docked by entering line interface with electronic health record software (EMR, HIS) manufacturer or relevant information department of hospital；
Or the case history of patient is obtained by application program of mobile phone app or Intelligent hardware typing patient main suit or doctor's description information；It is logical
Cross and the interface of laboratory information system (LIS) is docked, obtain laboratory inspection information and pass through and image information system (PACS)
Interface docking, obtain imageological examination information；Investigated by prevalence rate and Retrospective review mode obtains history and infects
Baseline.
Hospital infection management information acquisition module：Including the management of three pipes (mechanical ventilationassociatepneumonia pneumonia caused by lung ventilator intubation,
Bloodstream infection caused by the urinary tract infections relating and indwelling intravenous needle caused by the urinary tract intubation), antimicrobial management, operation wound
Mouth management, hemodialysis management, endoscopes management, hand hygiene management, multi-drug resistant bacteria management, sterilization management and sterile working management
Information.
The management of above-mentioned three pipe include before intubation to whether adapt to intubation in assessment verification, the intubation of intubation the step of core
Look into, after intubation whether can the assessment of tube drawing verify and three pipe infection rates；Antimicrobial management uses indication including medicine, i.e.,
Whether patient needs antibacterials, it is necessary to which kind of antibacterials, and dosage should be how many, prevention step, treatment step, be
The medication of no foundation laboratory Micro biological Tests drug sensitivity tests, the whether periodically review mechanism for whether having Antibiogics usage, announcement
Antibiotics applied and resistance situation；Surgical wound management includes preserved skin form, the species using prophylactic, maintains body
Temperature, control blood sugar；Hemodialysis management includes whether the pathogeny microbiology testing result of blood born diseases, dialysis cartridge are multiplexed, instead
Infiltration and pathogenic microorganism Hygienic monitoring on hands of childhood, the staff training of dialyzate；Endoscopes management includes that endoscope cleaning sterilization (sterilizing) flow is
It is no to meet specification, registration, the pathogenic microorganism Hygienic monitoring on hands of childhood, the monitoring of decontaminant concentration, staff training of sterilization (or sterilizing) scope；
Monitoring of the hand hygiene management including the moment of washing one's hands (before the patient containing contact, before sterile working, after contact body fluid, after contact patient, connects
Touch environment after), Handwashing ways it is whether correct；Multi-drug resistant bacteria management includes that common drug-fast bacteria separates quantity, multi-drug resistant bacteria point
(contain and be not limited to methicillin-resistant staphylococcus aureus, produce super wide spectrum beta lactamases enterobacteria, the mould of resistance to carbon from quantity
Alkene enzyme negative bacillus, vancomycin resistance coccus), general drug-fast bacteria (containing and be not limited to the negative bacillus of resistance to polymyxins), implement to connect
Whether tactile quarantine measures scientific and normal, whether it is special strictly to accomplish special thing, whether strictly accomplish isolation dressing, whether strictly accomplish
Terminal disinfection and the method for going field planting；Sterilization management includes the pathogenic microorganism Hygienic monitoring on hands of childhood of sterilization article, sterilization
The track record of flow that whether the thing term of validity is expired, sterilisation of objects sterilizes；Sterile working management include operating process whether specification,
Aseptic dressing and barrier whether implement in place, disinfectant application method it is whether correct；Additionally include clinical waste placement location,
Classification and registration work whether specification；Whether have staff infection mitigation and control training program, and assess result of training,
Whether individual protective equipment is complete and effectively usable；Occupational exposure case, if Immunization programme；Whether enough negative pressure disease is had
Room；Whether configuration intravenous fluids meet standard；
Analyzer can make corresponding infection risk by the data of above details in conjunction with epidemiology model
Prediction, and make corresponding diagnoses and treatment suggestion.
Analyzer：According to patient data collection's module and the information of hospital infection management information acquisition module collection according to stream
The disease that row disease is learned in model data library module learns model and makes the probability that each position occurs hospital infection risk, while providing pre-
Survey the information of above-mentioned risk, the decision-making assistant information of prevention, and treatment and the decision-making assistant information of infection has been sent out in control.
Used as the further improvement of this programme, the mathematical algorithm is classified including logistic regression two, GBDT bis- classifies, K is near
It is classification more than suburb, logistic regression, random forest, naive Bayesian, K mean cluster, linear regression, GBDT recurrence, collaborative filtering, mixed
Confuse matrix, Pearson's coefficient, histogram, T inspections, Chi-square Test, centrifugal pump signature analysis.
Used as the further improvement of this programme, the epidemiology model data library module also includes country and international industry
Specification, guide, the master pattern of common recognition.
Specific indices are as follows to the weight design for infecting：
A1+a2+..an+bx+ ...+lm=1
A=0, a1+a2+..an, by that analogy n=3 in this example
…
L=0, l1+ ...+lm
Wherein, value 0 during this project operation is not carried out, m has m project in representing l；Take negative value, be shown as to infection be
Protection factor.
The above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to preferred embodiment to this hair
It is bright to be described in detail, it will be understood by those within the art that, technical scheme can be modified
Or equivalent, without deviating from the objective and scope of technical solution of the present invention, it all should cover in claim of the invention
In the middle of scope.
Claims (3)
1. a kind of prediction, diagnosis, treatment and control hospital infection intelligent decision accessory system, it is characterised in that：Including prevalence
Disease learns model data library module, patient data collection's module, hospital infection management information acquisition module and analyzer；
Epidemiology model data library module：Program crawl internet is excavated by big data existing related to hospital infection
The data of infection risk factors therein are carried out structuring by scientific documents, while with mathematical algorithm, to above-mentioned hazards
Counted, the infection for obtaining hazards occurs percentage；
Patient data collection's module：Obtain the inspection report of patient medical record data, history infection data and iconography and laboratory
Accuse data；
Hospital infection management information acquisition module：Managed including three pipe management, antimicrobial management, surgical wound management, hemodialysis,
The information of endoscopes management, hand hygiene management, multi-drug resistant bacteria management, sterilization management and sterile working management；
Analyzer：According to patient data collection's module and the information of hospital infection management information acquisition module collection according to epidemic disease
Learn the disease in model data library module and learn the probability that model makes each position generation hospital infection risk, while in offer prediction
State the information of risk, the decision-making assistant information of prevention, and treatment and the decision-making assistant information of infection has been sent out in control.
2. a kind of prediction according to claim 1, diagnosis, treatment and control hospital infection intelligent decision accessory system,
It is characterized in that：The mathematical algorithm is classified including logistic regression two, GBDT bis- classifies, the K suburbs, classification more than logistic regression, with
It is machine forest, naive Bayesian, K mean cluster, linear regression, GBDT recurrence, collaborative filtering, confusion matrix, Pearson's coefficient, straight
Fang Tu, T inspection, Chi-square Test, centrifugal pump signature analysis.
3. a kind of prediction according to claim 1, diagnosis, treatment and control hospital infection intelligent decision accessory system,
It is characterized in that：The epidemiology model data library module also includes country and international industry standard, guide, the standard of common recognition
Model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611214892.0A CN106709252A (en) | 2016-12-26 | 2016-12-26 | Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611214892.0A CN106709252A (en) | 2016-12-26 | 2016-12-26 | Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106709252A true CN106709252A (en) | 2017-05-24 |
Family
ID=58903299
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611214892.0A Pending CN106709252A (en) | 2016-12-26 | 2016-12-26 | Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106709252A (en) |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107887036A (en) * | 2017-11-09 | 2018-04-06 | 北京纽伦智能科技有限公司 | Construction method, device and the clinical decision accessory system of clinical decision accessory system |
| CN108376564A (en) * | 2018-02-06 | 2018-08-07 | 天津艾登科技有限公司 | Medical diagnosis on disease complication recognition methods based on random forests algorithm and system |
| CN109360655A (en) * | 2018-12-13 | 2019-02-19 | 湖南德雅曼达科技有限公司 | A kind of section of institute of medical institutions two-stage infection risk assessment system and method |
| CN109920541A (en) * | 2019-03-21 | 2019-06-21 | 武汉千屏影像技术有限责任公司 | A kind of pathological diagnosis method based on data analysis |
| CN110021405A (en) * | 2017-09-11 | 2019-07-16 | 首都医科大学附属北京天坛医院 | A kind of medical data acquisition method |
| CN110097975A (en) * | 2019-04-28 | 2019-08-06 | 湖南省蓝蜻蜓网络科技有限公司 | A kind of nosocomial infection intelligent diagnosing method and system based on multi-model fusion |
| CN110277147A (en) * | 2019-04-25 | 2019-09-24 | 胡盛寿 | A kind of system and method for realizing medical record intelligent diagnosis cataloguing |
| CN110739074A (en) * | 2019-10-22 | 2020-01-31 | 唐杨烽 | Infection prevention and control device and infection prevention and control system |
| CN110993114A (en) * | 2019-11-26 | 2020-04-10 | 泰康保险集团股份有限公司 | Medical data analysis method and device, storage device and electronic equipment |
| CN111223573A (en) * | 2020-01-20 | 2020-06-02 | 和宇健康科技股份有限公司 | Hospital infection monitoring management method and system |
| CN111243756A (en) * | 2020-01-21 | 2020-06-05 | 杭州杏林信息科技有限公司 | Method and device for counting infection cases of type I incision operation part and storage medium |
| CN111403049A (en) * | 2020-03-26 | 2020-07-10 | 长沙瀚云信息科技有限公司 | Epidemic disease prediction early warning management system |
| CN111681727A (en) * | 2020-06-09 | 2020-09-18 | 中南大学 | COVID-19 data acquisition and analysis system |
| CN111816297A (en) * | 2020-03-31 | 2020-10-23 | 复旦大学附属中山医院 | Cloud-based nCoV virus diagnosis and treatment system and method |
| WO2020245823A1 (en) * | 2019-06-03 | 2020-12-10 | Rambam Med-Tech Ltd. | Automatic prediction of blood infections |
| CN112562857A (en) * | 2020-12-28 | 2021-03-26 | 上海蓬海涞讯数据技术有限公司 | Method, device, processor and storage medium for realizing high-risk operation prediction based on K-means clustering |
| CN113241172A (en) * | 2021-03-25 | 2021-08-10 | 边缘智能研究院南京有限公司 | ICU discrimination system for postoperative infection of neurosurgical patient |
| CN113299379A (en) * | 2021-06-17 | 2021-08-24 | 南通市第一人民医院 | Intelligent management method and system based on safety risk of blood purification center |
| CN113744873A (en) * | 2021-11-08 | 2021-12-03 | 浙江大学 | Heating to-be-checked auxiliary differential diagnosis system based on task decomposition strategy |
| CN114708983A (en) * | 2021-12-17 | 2022-07-05 | 华中科技大学 | In-hospital infection risk analysis method and system based on association rule and complex network |
| CN115083618A (en) * | 2022-05-18 | 2022-09-20 | 深圳大学 | Artificial intelligent epidemiology investigation system and method based on Internet of things |
| CN116936106A (en) * | 2023-09-18 | 2023-10-24 | 天津医科大学第二医院 | Method and system for evaluating risk of dangerous event in dialysis |
| CN117238452A (en) * | 2023-10-08 | 2023-12-15 | 中世康恺科技有限公司 | Regional medical image cloud and inspection result mutual recognition sharing platform |
| US11948694B2 (en) | 2021-05-12 | 2024-04-02 | Merative Us L.P. | Controlling compartmental flows in epidemiological modeling based on mobility data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202472664U (en) * | 2012-03-01 | 2012-10-03 | 刘晞照 | Hospital infection comprehensive prediction device |
| CN202814972U (en) * | 2012-08-30 | 2013-03-20 | 郭振和 | Hospital infection control analysis meter |
| CN105139320A (en) * | 2015-09-29 | 2015-12-09 | 谢文愉 | Intelligent supervision system for medical hand hygiene compliance |
| CN105893725A (en) * | 2014-11-13 | 2016-08-24 | 北京众智汇医科技有限公司 | Management system for an entire process of hospital infection prevention and control, and method thereof |
-
2016
- 2016-12-26 CN CN201611214892.0A patent/CN106709252A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202472664U (en) * | 2012-03-01 | 2012-10-03 | 刘晞照 | Hospital infection comprehensive prediction device |
| CN202814972U (en) * | 2012-08-30 | 2013-03-20 | 郭振和 | Hospital infection control analysis meter |
| CN105893725A (en) * | 2014-11-13 | 2016-08-24 | 北京众智汇医科技有限公司 | Management system for an entire process of hospital infection prevention and control, and method thereof |
| CN105139320A (en) * | 2015-09-29 | 2015-12-09 | 谢文愉 | Intelligent supervision system for medical hand hygiene compliance |
Non-Patent Citations (3)
| Title |
|---|
| 吴春霖: "《医院感染危险因素评估及其预测效果评价》", 《华西医学》 * |
| 董卫国，等: "《建立医药感染风险评估机制预防控制医院感染》", 《中华医药感染学杂志》 * |
| 陈立兵: "《某大型综合医院医院感染预警预测》", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 * |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110021405A (en) * | 2017-09-11 | 2019-07-16 | 首都医科大学附属北京天坛医院 | A kind of medical data acquisition method |
| CN107887036A (en) * | 2017-11-09 | 2018-04-06 | 北京纽伦智能科技有限公司 | Construction method, device and the clinical decision accessory system of clinical decision accessory system |
| CN108376564A (en) * | 2018-02-06 | 2018-08-07 | 天津艾登科技有限公司 | Medical diagnosis on disease complication recognition methods based on random forests algorithm and system |
| CN109360655A (en) * | 2018-12-13 | 2019-02-19 | 湖南德雅曼达科技有限公司 | A kind of section of institute of medical institutions two-stage infection risk assessment system and method |
| CN109920541A (en) * | 2019-03-21 | 2019-06-21 | 武汉千屏影像技术有限责任公司 | A kind of pathological diagnosis method based on data analysis |
| CN110277147A (en) * | 2019-04-25 | 2019-09-24 | 胡盛寿 | A kind of system and method for realizing medical record intelligent diagnosis cataloguing |
| CN110097975A (en) * | 2019-04-28 | 2019-08-06 | 湖南省蓝蜻蜓网络科技有限公司 | A kind of nosocomial infection intelligent diagnosing method and system based on multi-model fusion |
| WO2020245823A1 (en) * | 2019-06-03 | 2020-12-10 | Rambam Med-Tech Ltd. | Automatic prediction of blood infections |
| CN110739074A (en) * | 2019-10-22 | 2020-01-31 | 唐杨烽 | Infection prevention and control device and infection prevention and control system |
| CN110739074B (en) * | 2019-10-22 | 2023-12-01 | 唐杨烽 | Infection prevention and control device and infection prevention and control system |
| CN110993114B (en) * | 2019-11-26 | 2023-06-27 | 泰康保险集团股份有限公司 | Medical data analysis method and device, storage device and electronic equipment |
| CN110993114A (en) * | 2019-11-26 | 2020-04-10 | 泰康保险集团股份有限公司 | Medical data analysis method and device, storage device and electronic equipment |
| CN111223573A (en) * | 2020-01-20 | 2020-06-02 | 和宇健康科技股份有限公司 | Hospital infection monitoring management method and system |
| CN111243756A (en) * | 2020-01-21 | 2020-06-05 | 杭州杏林信息科技有限公司 | Method and device for counting infection cases of type I incision operation part and storage medium |
| CN111403049A (en) * | 2020-03-26 | 2020-07-10 | 长沙瀚云信息科技有限公司 | Epidemic disease prediction early warning management system |
| CN111816297A (en) * | 2020-03-31 | 2020-10-23 | 复旦大学附属中山医院 | Cloud-based nCoV virus diagnosis and treatment system and method |
| CN111681727A (en) * | 2020-06-09 | 2020-09-18 | 中南大学 | COVID-19 data acquisition and analysis system |
| CN112562857A (en) * | 2020-12-28 | 2021-03-26 | 上海蓬海涞讯数据技术有限公司 | Method, device, processor and storage medium for realizing high-risk operation prediction based on K-means clustering |
| CN113241172A (en) * | 2021-03-25 | 2021-08-10 | 边缘智能研究院南京有限公司 | ICU discrimination system for postoperative infection of neurosurgical patient |
| US11948694B2 (en) | 2021-05-12 | 2024-04-02 | Merative Us L.P. | Controlling compartmental flows in epidemiological modeling based on mobility data |
| CN113299379A (en) * | 2021-06-17 | 2021-08-24 | 南通市第一人民医院 | Intelligent management method and system based on safety risk of blood purification center |
| CN113744873B (en) * | 2021-11-08 | 2022-02-11 | 浙江大学 | Heating to-be-checked auxiliary differential diagnosis system based on task decomposition strategy |
| CN113744873A (en) * | 2021-11-08 | 2021-12-03 | 浙江大学 | Heating to-be-checked auxiliary differential diagnosis system based on task decomposition strategy |
| CN114708983B (en) * | 2021-12-17 | 2022-12-27 | 华中科技大学 | In-hospital infection risk analysis method and system based on association rule and complex network |
| CN114708983A (en) * | 2021-12-17 | 2022-07-05 | 华中科技大学 | In-hospital infection risk analysis method and system based on association rule and complex network |
| CN115083618A (en) * | 2022-05-18 | 2022-09-20 | 深圳大学 | Artificial intelligent epidemiology investigation system and method based on Internet of things |
| CN116936106A (en) * | 2023-09-18 | 2023-10-24 | 天津医科大学第二医院 | Method and system for evaluating risk of dangerous event in dialysis |
| CN116936106B (en) * | 2023-09-18 | 2023-12-22 | 天津医科大学第二医院 | Method and system for evaluating risk of dangerous event in dialysis |
| CN117238452A (en) * | 2023-10-08 | 2023-12-15 | 中世康恺科技有限公司 | Regional medical image cloud and inspection result mutual recognition sharing platform |
| CN117238452B (en) * | 2023-10-08 | 2024-05-17 | 中世康恺科技有限公司 | Regional medical image cloud and inspection result mutual recognition sharing platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106709252A (en) | Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection | |
| JP4959996B2 (en) | Interpretation report display device | |
| CN108399951A (en) | Ventilator Associated Pneumonia decision assistant method, apparatus, equipment and medium | |
| Hopkins et al. | Reducing blood culture contamination rates: a systematic approach to improving quality of care | |
| JP2019109553A (en) | Information processing apparatus and information processing method | |
| Albert et al. | Cleaned, ready-to-use, reusable electrocardiographic lead wires as a source of pathogenic microorganisms | |
| Du et al. | Investigation and control of an outbreak of urinary tract infections caused by Burkholderia cepacia n-contaminated anesthetic gel | |
| Bailey | Wearable internet of things healthcare systems, virtual care, and real-time clinical monitoring in assessing and treating patients with COVID-19 symptoms | |
| Christensen et al. | Healthcare settings | |
| Yu et al. | Comprehensive gastroenterology endoscopy unit workflow and infection prevention during the COVID‐19 Pandemic: Experience with 159 cases in Wuhan, China | |
| JP7480440B2 (en) | Real-time on-cart cleaning and disinfection guidelines to reduce cross-infection after ultrasound examinations | |
| CN110546715A (en) | using clinical knowledge to improve the use of next generation sequencing | |
| US20230165456A1 (en) | Medical system and medical method | |
| Watkins et al. | Perceptions of infection control practices among health professionals | |
| CN103198220A (en) | Computer-aided antibacterial agent clinical application mid-diagnosis decision making system | |
| Davran et al. | Knowledge level of nursing students on nosocomial infection | |
| CN113113151A (en) | New crown pneumonia exposure risk assessment system for medical institution staff | |
| CN101632604A (en) | Method and device for calculating a parameter affecting the prostate of a patient | |
| Prasad et al. | Applications of artificial intelligence in biomedical engineering | |
| Barmola et al. | Intelligent Bioinformatics System Architecture for Water Borne Diseases Diagnosis and Monitoring | |
| WO2023129110A2 (en) | Decision support system and method for liver transplant patients | |
| Niveriya et al. | Review on Role of Artificial Intelligence in COVID-19 Management and Contemporary Medical Sciences | |
| Sharma et al. | Role of Artificial Intelligence for Diagnosing Tuberculosis | |
| TR202011991A2 (en) | MOBILE TRIAGE STATION WITH MEDICAL KIOSK | |
| He | Status and Progress in the Control of Infection in Chinese Hospitals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170524 |